issue_comments: 532777471
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| html_url | issue_url | id | node_id | user | created_at | updated_at | author_association | body | reactions | performed_via_github_app | issue |
|---|---|---|---|---|---|---|---|---|---|---|---|
| https://github.com/pydata/xarray/issues/3315#issuecomment-532777471 | https://api.github.com/repos/pydata/xarray/issues/3315 | 532777471 | MDEyOklzc3VlQ29tbWVudDUzMjc3NzQ3MQ== | 2448579 | 2019-09-18T17:07:39Z | 2019-09-18T17:07:39Z | MEMBER | This honestly makes no sense to me.
These are dataarrays with two different names. Why is this the expected result?
That error arises because it's trying to concatenate data_vars ``` da1 = xr.DataArray(name="a", data=[[0]], dims=["x", "y"]) da2 = xr.DataArray(name="a", data=[[1]], dims=["x", "y"]) da3 = xr.DataArray(name="a", data=[[2]], dims=["x", "y"]) da4 = xr.DataArray(name="a", data=[[3]], dims=["x", "y"]) ds1 = da1.to_dataset() ds2 = da2.to_dataset() ds3 = da3.to_dataset() ds4 = da4.to_dataset() xr.combine_nested([[ds1, ds2], [ds3, ds4]], concat_dim=["x", "y"]) ```
ping @TomNicholas |
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494906646 |